Exploring the impact of Big Data Analytics Capabilities on the dual nature of innovative activities in MSMEs: A Data-Agility-Innovation Perspective

被引：20
|
作者：
Zheng, Leven J. [1 ]
Zhang, Justin Zuopeng [2 ]
Wang, Huan [1 ]
Hong, Jacky F. L. [3 ]
机构：
[1] Hong Kong Metropolitan Univ, Lee Shau Kee Sch Business & Adm, Dept Global Business & Mkt, Ho Man Tin, Hong Kong, Peoples R China
[2] Univ North Florida, Coggin Coll Business, Dept Management, Jacksonville, FL 32224 USA
[3] Univ Macau, Fac Business Adm, Macau, Peoples R China
来源：
ANNALS OF OPERATIONS RESEARCH | 2022年
关键词：
Big data analytics capabilities; Dynamic capability; Innovation generation; Innovation adoption; Market agility; BUILDING DYNAMIC CAPABILITIES; RESOURCE-BASED VIEW; INFORMATION-TECHNOLOGY; FIRM PERFORMANCE; ENTREPRENEURIAL ORIENTATION; ORGANIZATIONAL PERFORMANCE; STRATEGIC MANAGEMENT; ABSORPTIVE-CAPACITY; PRODUCT INNOVATION; SUCCESS TRAPS;
D O I：
10.1007/s10479-022-04800-6
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
This paper investigates how big data analytics influences the innovative activities of micro, small, and medium enterprises (MSMEs) on the basis of the resource-based and dynamic capabilities views. Studying a survey sample collected from 186 entrepreneurial and MSMEs, we discovered a crucial mediating mechanism in the relationship between them: market agility. Our findings suggest that the use of big data analytics enables MSMEs to enhance their market agility, thereby strengthening their innovation adoption. In addition, an MSME's strong dynamic capability helps boost the effects of market agility on innovation adoption. While early success traps strengthen the effects of market agility on innovation adoption, they weaken the effects on innovation generation. Our study enriches the existing literature on big data analytics and innovation and provides practical guidance for MSMEs to engage in entrepreneurial innovation through big data analytics.
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页数：29
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